12. Video: SVD Practice Takeaways
SVD Practice Takeaways
Singular Value Decomposition Takeaways
Three main takeaways from the previous notebook:
- The latent factors retrieved from SVD aren't actually labeled.
- We can get an idea of how many latent factors we might want to keep by using the Sigma matrix.
- SVD in NumPy will not work when our matrix has missing values. This makes this technique less than useful for our current user-movie matrix.